{"id":"W606180550","doi":"","title":"HLT-NAACL 2003 : Human Language Technology conference of the North American Chapter of the Association for Computational Linguistics: companion volume : short parers, student research workshop, demonstrations, tutorial abstracts : May 27 to June 1, 2003, Edmonton, Alberta, Canada","year":2003,"lang":"en","type":"book","venue":"Association for Computational Linguistics eBooks","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Volume (thermodynamics); Association (psychology); Library science; Computational linguistics; Computer science; Linguistics; Psychology; Artificial intelligence; Philosophy; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001553131,0.0004490982,0.0007495082,0.0003712971,0.0007880754,0.0002253658,0.001782409,0.0004250704,0.000002813846],"category_scores_gemma":[0.02295275,0.0004088786,0.0001905325,0.0007678308,0.0002250966,0.00003576043,0.0003845625,0.0009119372,0.000001816207],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002935066,"about_ca_system_score_gemma":0.005925945,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005712061,"about_ca_topic_score_gemma":0.1135236,"domain_scores_codex":[0.9945425,0.0002421887,0.001484315,0.0007238676,0.0023906,0.0006165638],"domain_scores_gemma":[0.9720229,0.002166876,0.002499165,0.0005876609,0.02259908,0.0001243066],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003249147,0.0001665046,0.01369213,0.0001706197,0.0004991936,0.000002474819,0.00112871,0.01387387,0.00002022367,0.8135399,0.1558475,0.001026422],"study_design_scores_gemma":[0.0021089,0.000583876,0.02136206,0.001188594,0.0007406102,0.000005741086,0.0003384238,0.02044191,0.001068804,0.2498095,0.7000195,0.002332067],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007604017,0.001788632,0.5583515,0.01174523,0.07686938,0.04807601,0.01997266,0.001578928,0.2740136],"genre_scores_gemma":[0.7048183,0.000002936232,0.1231874,0.0003691563,0.001640625,0.0002725413,0.001130856,0.0001077121,0.1684705],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6972143,"threshold_uncertainty_score":0.9998363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02931232966589884,"score_gpt":0.3240502664602259,"score_spread":0.2947379367943271,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}